@article{huang_zhang_wang_xie_yuan_2022, title={An interactive two-stage retail electricity market for microgrids with peer-to-peer flexibility trading}, volume={320}, ISSN={["1872-9118"]}, DOI={10.1016/j.apenergy.2022.119085}, abstractNote={To accommodate the proliferation of microgrids (MGs) that manage various distributed energy resources (DERs) to ensure secure internal operations, an interactive two-stage retail electricity market based on the transactive energy is proposed to provide an effective platform for these prosumers to participate in distribution-side retail transactions. Firstly, given the unpredictability of uncertainty, the centralized day-ahead stochastic energy trading between the distribution system operator (DSO) and MGs is performed, where the chance-constrained uncertainty distribution locational marginal price (CC-UDLMP) that quantifies the cost of uncertainty precautions is used to settle the transactions. Secondly, in the intra-day stage, to eliminate power imbalances from rolling estimates by exploiting the adjustability capacity of the DERs within the MGs, the peer-to-peer (P2P) based flexibility service sharing is implemented between MGs under the system-level regulation of DSO. Thirdly, a fully distributed iterative algorithm is adopted to find the Nash equilibrium solution of this two-stage sequential game under the market machanism, where the Lp-box alternating direction methods of multipliers algorithm (Lp-box ADMM) is adopted to efficiently resolve the stochastic market clearing with a mixed-integer programming structure to improve the versatility of this work. It is verified that the proposed market mechanism can effectively leverage the flexibility potentials of the MGs and improve the overall market efficiency under uncertain environments.}, journal={APPLIED ENERGY}, author={Huang, Chunyi and Zhang, Mingzhi and Wang, Chengmin and Xie, Ning and Yuan, Zhao}, year={2022}, month={Aug} } @article{xie_mcentee_zhang_mather_lu_2021, title={Development of an Encoding Method on a Co-Simulation Platform for Mitigating the Impact of Unreliable Communication}, volume={12}, ISSN={["1949-3061"]}, url={https://doi.org/10.1109/TSG.2020.3039949}, DOI={10.1109/TSG.2020.3039949}, abstractNote={This article presents a hardware-in-the-loop (HIL) based modeling approach for simulating impacts of unreliable communication on the performance of centralized volt-var control and for developing an encoding method to mitigate the impacts. First, an asynchronous real-time HIL simulation platform is introduced to enable multi-rate co-simulation of a distribution system with many inverter-based distributed energy resources (DERs). The distribution system is modeled by milliseconds phasor-based models and the DERs are modeled by micro-seconds power electronic models. Communication connections between a centralized volt-var controller (modeled externally to the HIL testbed) and smart inverters are built by implementing Modbus links and the Long Term Evolution network. On this co-simulation platform, an enhanced, augmented Lagrangian multiplier based encoded data recovery (EALM-EDR) algorithm for mitigating the impact of unreliable communication is developed and validated. Simulation results demonstrate the efficacy of using the HIL-based co-simulation platform as a power grid digital twin for developing algorithms that coordinate a large number of heterogeneous control systems through wired and wireless communication links.}, number={3}, journal={IEEE TRANSACTIONS ON SMART GRID}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Xie, Fuhong and McEntee, Catie and Zhang, Mingzhi and Mather, Barry and Lu, Ning}, year={2021}, month={May}, pages={2496–2507} } @article{xie_mcentee_zhang_lu_ke_vattern_samaan_2021, title={Networked HIL Simulation System for Modeling Large-scale Power Systems}, ISSN={["2163-4939"]}, DOI={10.1109/NAPS50074.2021.9449646}, abstractNote={This paper presents a networked hardware-in-the-loop (HIL) simulation system for modeling large-scale power systems. Researchers have developed many HIL test systems for power systems in recent years. Those test systems can model both microsecond-level dynamic responses of power electronic systems and millisecond-level transients of transmission and distribution grids. By integrating individual HIL test systems into a network of HIL test systems, we can create large-scale power grid digital twins with flexible structures at required modeling resolution that fits for a wide range of system operating conditions. This will not only significantly reduce the need for field tests when developing new technologies but also greatly shorten the model development cycle. In this paper, we present a networked OPAL-RT based HIL test system for developing transmission-distribution coordinative Volt-VAr regulation technologies as an example to illustrate system setups, communication requirements among different HIL simulation systems, and system connection mechanisms. Impacts of communication delays, information exchange cycles, and computing delays are illustrated. Simulation results show that the performance of a networked HIL test system is satisfactory.}, journal={2020 52ND NORTH AMERICAN POWER SYMPOSIUM (NAPS)}, author={Xie, Fuhong and McEntee, Catie and Zhang, Mingzhi and Lu, Ning and Ke, Xinda and Vattern, Mallikarjuna R. and Samaan, Nader}, year={2021} }